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A collection of Reinforcement Learning GitHub code resources divided by frameworks and environments
A Best-of-list of Robot Simulators, re-generated weekly on Wednesdays
Solutions of Reinforcement Learning, An Introduction
// Aesthetic, dynamic and minimal dots for Arch hyprland
[DEPRECATED] Git mirror of the 0 A.D. SVN source code (migrated to https://gitea.wildfiregames.com on August 20th 2024)
[SIGGRAPH Asia 2024, Journal Track] ToonCrafter: Generative Cartoon Interpolation
🔬 Path to a free self-taught education in Bioinformatics!
🎓 Path to a free self-taught education in Computer Science!
Official implementation of HARL algorithms based on PyTorch.
Hello, I pushed some python environments for Multi Agent Reinforcement Learning.
A suite of test scenarios for multi-agent reinforcement learning.
Paper list of multi-agent reinforcement learning (MARL)
"Probabilistic Machine Learning" - a book series by Kevin Murphy
Collection of reinforcement learning algorithms implementations with TensorFlow2
kennethreitz / setup.py
Forked from navdeep-G/setup.py📦 A Human's Ultimate Guide to setup.py.
PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
Collection of important articles to be treated as a textbook
Multi-Joint dynamics with Contact. A general purpose physics simulator.
Toolbox to integrate optimal transport loss functions using automatic differentiation and Sinkhorn's algorithm
A simple and well styled PPO implementation. Based on my Medium series: https://medium.com/@eyyu/coding-ppo-from-scratch-with-pytorch-part-1-4-613dfc1b14c8.
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
PyTorch Implementation of SimSiam from "Exploring Simple Siamese Representation Learning" by Chen et al.
24 Lessons, 12 Weeks, Get Started as a Web Developer
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all